Neural Information Processing [E-Book] : 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part V / edited by Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt.
The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22-26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selec...
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Full text |
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| Personal Name(s): | Agarwal, Sonali, editor |
| Ekbal, Asif, editor / Jatowt, Adam, editor / Ozawa, Seiichi, editor / Tanveer, Mohammad, editor | |
| Edition: |
1st edition 2023. |
| Imprint: |
Singapore :
Springer,
2023
|
| Physical Description: |
XXXV, 609 pages 196 illustrations, 173 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9789819916429 |
| DOI: |
10.1007/978-981-99-1642-9 |
| Series Title: |
Communications in Computer and Information Science ;
1792 |
| Subject (LOC): |
- Theory and Algorithms II
- GCD-PKAug: A Gradient Consistency Discriminator-based Augmentation Method for Pharmacokinetics Time Courses
- ISP-FESAN: Improving Significant Wave Height Prediction with Feature Engineering and Self-Attention Network
- Binary Orthogonal Non-negative Matrix Factorization
- Shifted Chunk Encoder for Transformer Based Streaming End-to-End ASR
- Interpretable Decision Tree Ensemble Learning with Abstract Argumentation for Binary Classification
- Adaptive Graph Recurrent Network for Multivariate Time Series Imputation
- Adaptive Rounding Compensation for Post-Training Quantization
- More Efficient And Locally Enhanced Transformer
- ASLEEP: A Shallow neural modEl for knowlEdge graph comPletion
- A speech enhancement method combining two-branch communication and spectral subtraction
- A fast and robust Photometric redshift forecasting method using Lipschitz adaptive learning rate
- Generating Textual Description using Modified Beam Search
- Disentangling Exploration and Exploitation in Deep Reinforcement Learning Using Contingency Awareness
- Multi-Grained Fusion Graph Neural Networks for Sequential Recommendation
- Optimal Design of Cable-Driven Parallel Robots by Particle Schemes
- UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases
- Active Learning with Weak Supervision for Gaussian Processes
- HPC based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data
- Cognitive Neurosciences
- RTS:A Regional Time Series Framework for Brain Disease Classification
- Deep Domain Adaptation for EEG-based Cross-subject Cognitive Workload Recognition
- Graph Convolutional Neural Network Based on Channel Graph Fusion for EEG Emotion Recognition
- Detecting Major Depressive Disorder by Graph Neural Network Exploiting Resting-state Functional MRI
- An Improved Stimulus Reconstruction Method for EEG-based Short-time Auditory Attention Detection
- Functional Connectivity of the Brain while Solving Scientific Problems with Uncertainty as Revealed by Phase Synchronization based on Hilbert Transform
- Optimizing pcsCPD with Alternating Rank-R and Rank-1 Least Squares: Application to Complex-Valued Multi-Subject fMRI Data
- Decoding Brain Signals with Meta-Learning
- Human Centered Computing
- Research on Answer Generation for Chinese Gaokao Reading Comprehension
- A Novel Graph Transformer Based Approach Toward Multi-hop Question Answering
- Logit Distillation via Student Diversity
- Causal connectivity transition from action observation to mentalizing network for understanding other's action intention
- ND-NER: A Named Entity Recognition Dataset for OSINT towards the National Defense Domain
- Extractive Question Answering using Transformer-based LM
- Temporal dynamics of value integration in perceptual decisions: An EEG study
- Measuring Decision Confidence Levels from EEG Using a Spectral-Spatial-Temporal Adaptive Graph Convolutional Neural Network
- BPMCF: Behavior Preference Mapping Collaborative Filtering for Multi-Behavior Recommendation
- Neural Distinguishers on TinyJAMBU-128 and GIFT-64
- Towards Hardware-friendly and Robust Facial Landmark Detection Method
- Few-shot Class-incremental Learning for EEG-based Emotion Recognition
- Motor Imagery BCI-based Online Control Soft Glove Rehabilitation System with Vibrotactile Stimulation
- Multi-level visual feature enhancement method for visual question answering
- Learning from Hindsight Demonstrations
- Hindsight Balanced Reward Shaping
- Emotion Recognition with Facial Attention and Objective Activation Functions
- M3S-CNN: Resting-state EEG based Multimodal and Multiscale Feature Extraction for Student Status Prediction in Class
- Towards Human Keypoint Detection in Infrared Images
- Multi-human intelligence in Instance-Based Learning
- How the Presence of Cognitive Biases in Phishing Emails Affects Human Decision-making?
- A simple memory module on reading comprehension
- Predicting Parkinson's Disease Severity Using Patient-Reported Outcomes and Genetic Information
- Towards the Development of a Machine Learning-based Action Recognition Model to Support Positive Behavioural Outcomes in Students with Autism
- Safety Issues Investigation in Deep Learning based Chatbots Answers to Medical Advice Requests.